Rows: 15,901
Columns: 18
$ resale_price <dbl> 330000, 360000, 370000, 375000, 380000, 38000…
$ floor_area_sqm <dbl> 92, 91, 92, 99, 92, 92, 92, 92, 93, 91, 91, 9…
$ storey_order <int> 1, 3, 1, 2, 2, 4, 3, 2, 4, 3, 3, 3, 4, 3, 2, …
$ remaining_lease_mths <dbl> 684, 738, 733, 700, 715, 732, 706, 745, 731, …
$ PROX_CBD <dbl> 8.824749, 9.841309, 9.560780, 9.609731, 8.351…
$ PROX_ELDERLYCARE <dbl> 0.2514065, 0.6318448, 1.0824168, 0.3473195, 0…
$ PROX_HAWKER <dbl> 0.44182653, 0.26972560, 0.25829513, 0.4364751…
$ PROX_MRT <dbl> 0.6885144, 1.0969096, 0.8862859, 1.4093169, 0…
$ PROX_PARK <dbl> 0.7450859, 0.4294870, 0.7800777, 0.1776163, 0…
$ PROX_GOOD_PRISCH <dbl> 1.2703931, 0.4045792, 2.0942375, 0.1375070, 1…
$ PROX_MALL <dbl> 0.5534331, 1.0677012, 0.9751113, 1.1752392, 1…
$ PROX_CHAS <dbl> 1.364596e-01, 2.569863e-01, 1.906189e-01, 2.9…
$ PROX_SUPERMARKET <dbl> 0.2708222, 0.3101889, 0.3187560, 0.4586748, 0…
$ WITHIN_350M_KINDERGARTEN <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, …
$ WITHIN_350M_CHILDCARE <int> 6, 5, 2, 3, 3, 2, 3, 4, 3, 2, 4, 4, 4, 5, 2, …
$ WITHIN_350M_BUS <int> 8, 8, 8, 7, 6, 9, 6, 6, 5, 4, 10, 5, 6, 9, 8,…
$ WITHIN_1KM_PRISCH <int> 2, 2, 1, 2, 2, 1, 3, 2, 2, 2, 2, 2, 3, 2, 2, …
$ geometry <POINT [m]> POINT (29179.92 38822.08), POINT (28423…